luozhongze/Physics-MM
Feb 2025 – May 2026
7 Months active
Languages Used
CSSHTMLJSONMarkdownPythonBash
Technical Skills
AI Model InteractionAI/MLAI/ML IntegrationAPI DevelopmentAPI IntegrationAPI Key Management
luozhongze
PROFILE
Luozhongze
Developed and maintained the Physics-MM repository, delivering a multi-LLM benchmarking platform for physics question answering and reasoning. Over seven months, built core project scaffolding, integrated APIs for models such as Gemini, Qwen, and GPT, and implemented evaluation pipelines with accuracy and difficulty scoring. Focused on backend development and Python scripting, the work included extensive documentation enhancements, onboarding improvements, and asset management to support reproducibility and collaboration. Applied skills in API integration, machine learning, and data analysis to enable objective model comparison and progress tracking. Maintained code quality through regular refactoring, repo hygiene, and disciplined version control practices.
Overall Statistics
Feature vs Bugs
87%Features
Repository Contributions
210Total
Bugs
7
Commits
210
Features
48
Lines of code
41,750
Activity Months7
Your Network
577 peopleWork History
May 2026
6 Commits • 1 Features
May 1, 2026Concise monthly summary for 2026-05 focusing on key accomplishments, major fixes, impact, and skills demonstrated for the luozhongze/Physics-MM project.
6 Commits • 1 Features
May 1, 2026Concise monthly summary for 2026-05 focusing on key accomplishments, major fixes, impact, and skills demonstrated for the luozhongze/Physics-MM project.
May 2026
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary: - Focus: luozhongze/Physics-MM - Key feature delivered: Physics Model Evaluation Scripts were added to evaluate model performance on physics questions, including accuracy metrics and difficulty scoring. This enables objective benchmarking and data-driven model improvement. - Commits reference: 8291117dc0517e70fa229898dfdec847f9de4240 (Update README.md) included in the change set. - Achievements: Implemented evaluation pipelines, established baseline comparison capabilities, and updated project documentation to reflect new capabilities. - Overall impact: Provides a repeatable, quantitative framework for assessing physics-question answering models, increasing confidence in model selection and progress tracking. No major bugs reported this month. All changes were delivered with a focus on business value—improving measurement, traceability, and readiness for experimentation.
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary: - Focus: luozhongze/Physics-MM - Key feature delivered: Physics Model Evaluation Scripts were added to evaluate model performance on physics questions, including accuracy metrics and difficulty scoring. This enables objective benchmarking and data-driven model improvement. - Commits reference: 8291117dc0517e70fa229898dfdec847f9de4240 (Update README.md) included in the change set. - Achievements: Implemented evaluation pipelines, established baseline comparison capabilities, and updated project documentation to reflect new capabilities. - Overall impact: Provides a repeatable, quantitative framework for assessing physics-question answering models, increasing confidence in model selection and progress tracking. No major bugs reported this month. All changes were delivered with a focus on business value—improving measurement, traceability, and readiness for experimentation.
January 2026
10 Commits • 2 Features
Jan 1, 2026January 2026 — Focused on documentation quality and onboarding improvements for luozhongze/Physics-MM. Delivered two major documentation initiatives: 1) Multi-Physics Benchmark Documentation for Chinese Physics Reasoning, with author details, benchmark description, and conference paper citations; 2) Project Documentation and Asset Updates, including enhanced README, usage instructions, acknowledgments, latest project information, and added assets. No major bugs fixed this month as work prioritized maintainability, clarity, and research evaluation readiness. Overall, these efforts enhance reproducibility, collaboration, and the business value of the project by improving researcher onboarding and credibility of the benchmark.
10 Commits • 2 Features
Jan 1, 2026January 2026 — Focused on documentation quality and onboarding improvements for luozhongze/Physics-MM. Delivered two major documentation initiatives: 1) Multi-Physics Benchmark Documentation for Chinese Physics Reasoning, with author details, benchmark description, and conference paper citations; 2) Project Documentation and Asset Updates, including enhanced README, usage instructions, acknowledgments, latest project information, and added assets. No major bugs fixed this month as work prioritized maintainability, clarity, and research evaluation readiness. Overall, these efforts enhance reproducibility, collaboration, and the business value of the project by improving researcher onboarding and credibility of the benchmark.
January 2026
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a targeted documentation enhancement for luozhongze/Physics-MM, updating the README to include a direct link to the paper and revised email contact formatting to improve accessibility and external collaboration. No major bugs fixed this month; stability-focused maintenance kept the codebase healthy. Overall, the changes simplify onboarding, accelerate external contributions, and improve project discoverability and information quality.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a targeted documentation enhancement for luozhongze/Physics-MM, updating the README to include a direct link to the paper and revised email contact formatting to improve accessibility and external collaboration. No major bugs fixed this month; stability-focused maintenance kept the codebase healthy. Overall, the changes simplify onboarding, accelerate external contributions, and improve project discoverability and information quality.
September 2025
32 Commits • 7 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on business value and technical achievements in the Physics-MM project. Highlights include establishing a solid project skeleton, ingesting core assets, enabling early development through initial item creation, implementing a core evaluation component, and improving onboarding with comprehensive documentation. Repo cleanup was performed to reduce noise and prepare for scalable feature work.
32 Commits • 7 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on business value and technical achievements in the Physics-MM project. Highlights include establishing a solid project skeleton, ingesting core assets, enabling early development through initial item creation, implementing a core evaluation component, and improving onboarding with comprehensive documentation. Repo cleanup was performed to reduce noise and prepare for scalable feature work.
September 2025
July 2025
21 Commits • 2 Features
Jul 1, 2025Month: 2025-07 — luozhongze/Physics-MM focused on elevating documentation quality to improve onboarding, reduce support overhead, and streamline contributor workflows. Delivery centered on extensive README improvements across two documentation batches, totaling 21 commits, with no reported critical bugs fixed this month. The work enhances developer experience and maintainability while aligning with project standards and best practices.
July 2025
21 Commits • 2 Features
Jul 1, 2025Month: 2025-07 — luozhongze/Physics-MM focused on elevating documentation quality to improve onboarding, reduce support overhead, and streamline contributor workflows. Delivery centered on extensive README improvements across two documentation batches, totaling 21 commits, with no reported critical bugs fixed this month. The work enhances developer experience and maintainability while aligning with project standards and best practices.
February 2025
139 Commits • 34 Features
Feb 1, 2025February 2025 performance summary for luozhongze/Physics-MM: from bootstrapping to a multi-LLM benchmarking platform. Delivered core scaffolding, integrated Gemini and Qwen APIs and benchmarks, established GLM and GPT-based benchmarking scaffolding, expanded documentation, and performed repo hygiene to reduce maintenance overhead and accelerate onboarding and experimentation. The team enabled rapid testing across Gemini, Qwen, Claude, GPT-based paths, and Yi/Grok scaffolds, while cleaning up legacy benches and stale assets to improve reliability and storage across the project.
139 Commits • 34 Features
Feb 1, 2025February 2025 performance summary for luozhongze/Physics-MM: from bootstrapping to a multi-LLM benchmarking platform. Delivered core scaffolding, integrated Gemini and Qwen APIs and benchmarks, established GLM and GPT-based benchmarking scaffolding, expanded documentation, and performed repo hygiene to reduce maintenance overhead and accelerate onboarding and experimentation. The team enabled rapid testing across Gemini, Qwen, Claude, GPT-based paths, and Yi/Grok scaffolds, while cleaning up legacy benches and stale assets to improve reliability and storage across the project.
February 2025
Activity
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Quality Metrics
Correctness96.8%
Maintainability96.6%
Architecture95.8%
Performance96.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
BashCSSHTMLJSONMarkdownPython
Technical Skills
AI Model InteractionAI/MLAI/ML IntegrationAPI DevelopmentAPI IntegrationAPI Key ManagementAPI integrationBackend DevelopmentBenchmarkingCode CleanupCode OrganizationCode RefactoringCommand-line Interface (CLI)Configuration ManagementData Export
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